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"Discourse and Digital Practices shows how tools from discourse analysis can be used to help us understand new communication practices associated with digital media, from video gaming and social networking to apps and photo sharing. Fourteen eminent scholars including James Paul Gee and Camilla Vasquez address the challenges of working with digital texts and interactions, and illustrate how different approaches to discourse analysis can be adapted in the face of these new digital practices. This cutting-edge book will be of interest to advanced students studying courses on digital literacies or language and digital practices"-- "Discourse and Digital Practices shows how tools from discourse analysis can be used to help us understand new communication practices associated with digital media, from video gaming and social networking to apps and photo sharing. This cutting-edge book:draws together fourteen eminent scholars in the field including James Paul Gee, David Barton, Ilana Snyder, Phil Benson, Victoria Carrington, Guy Merchant, Camilla Vasquez, Neil Selwyn and Rodney Jonesaddresses the central question: "How does discourse analysis enable us to understand digital practices?"demonstrates how digital practices and the associated new technologies challenge discourse analysts to adapt traditional analytic tools and formulate new theories and methodologiesanalyses a different type of digital media in each chapterexamines digital practices from a wide variety of approaches including textual analysis, conversation analysis, interactional sociolinguistics, multimodal discourse analysis, object ethnography, geosemiotics, and critical discourse analysis. Discourse and Digital Practices will be of interest to advanced students studying courses on digital literacies or language and digital practices"--

Discourse analysis --- Technological innovations --- Digital --- Social media --- Data processing --- Discoursanalyse --- Technologische innovaties --- Discoursanalyse en de digitale wereld --- Sociale netwerken --- Technological innovations. --- Digital. --- Social media. --- Data processing. --- gegevensverwerking --- taalgebruik --- Discoursanalyse. --- Technologische innovaties. --- Discoursanalyse en de digitale wereld. --- gegevensverwerking. --- taalgebruik. --- Gegevensverwerking. --- Taalgebruik. --- Digital media. --- Discourse analysis - Data processing --- Alice Chik --- Camilla Vasquez --- Christoph Hafner --- conversation analysis --- David Barton --- digital literacies --- discourse and digital literacies --- discourse and digital practices --- discourse and new media --- Guy Merchant --- Ilana Snyder --- interactional sociolinguistics --- James Paul Gee --- James Paul Gee digital literacies --- language and digital literacies --- language and new media --- language and social media --- multimodal discourse analysis --- Neil Selwyn --- object ethnography --- Phil Benson --- Rodney Jones --- semiotics --- textual analysis --- Victoria Carrington

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In recent years, technological breakthroughs have greatly enhanced our ability to understand the complex world of molecular biology. Rapid developments in genomic profiling techniques, such as high-throughput sequencing, have brought new opportunities and challenges to the fields of computational biology and bioinformatics. Furthermore, by combining genomic profiling techniques with other experimental techniques, many powerful approaches (e.g., RNA-Seq, Chips-Seq, single-cell assays, and Hi-C) have been developed in order to help explore complex biological systems. As a result of the increasing availability of genomic datasets, in terms of both volume and variety, the analysis of such data has become a critical challenge as well as a topic of great interest. Therefore, statistical methods that address the problems associated with these newly developed techniques are in high demand. This book includes a number of studies that highlight the state-of-the-art statistical methods for the analysis of genomic data and explore future directions for improvement.

multiple cancer types --- integrative analysis --- omics data --- prognosis modeling --- classification --- gene set enrichment analysis --- boosting --- kernel method --- Bayes factor --- Bayesian mixed-effect model --- CpG sites --- DNA methylation --- Ordinal responses --- GEE --- lipid–environment interaction --- longitudinal lipidomics study --- penalized variable selection --- convolutional neural networks --- deep learning --- feed-forward neural networks --- machine learning --- gene regulatory network --- nonparanormal graphical model --- network substructure --- false discovery rate control --- gaussian finite mixture model --- clustering analysis --- uncertainty --- expectation-maximization algorithm --- classification boundary --- gene expression --- RNA-seq --- n/a --- lipid-environment interaction

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Remote sensing plays a pivotal role in understanding where and how floods and glacier geohazards occur; their severity, causes and types; and the risk that they may pose to populations, activities and properties. By providing a spectrum of imaging capabilities, resolutions and temporal and spatial coverage, remote sensing data acquired from satellite, aerial and ground-based platforms provide key geo-information to characterize and model these processes. This book includes research papers on novel technologies (e.g., sensors, platforms), data (e.g., multi-spectral, radar, laser scanning, GPS, gravity) and analysis methods (e.g., change detection, offset tracking, structure from motion, 3D modeling, radar interferometry, automated classification, machine learning, spectral indices, probabilistic approaches) for flood and glacier imaging. Through target applications and case studies distributed globally, these articles contribute to the discussion on the current potential and limitations of remote sensing in this specialist research field, as well as the identification of trends and future perspectives.

glacier surge --- glacier collapse --- rock-slope instability --- hazard --- Landsat --- Sentinel 2 --- Tibet --- flood extent mapping --- supervised classification --- NDWI --- synthetic aperture radar (SAR) --- web application --- synthetic aperture radar --- offset tracking --- displacements --- Sentinel-1 --- glacier monitoring --- flood mapping --- damage assessment --- SAR image --- Landsat-8 --- Google Earth Engine --- GEE --- Bangladesh --- SAR intensity time series --- urban flood mapping --- double bounce effect --- Hurricane Matthew --- flood --- FPI --- GRACE --- terrestrial water storage anomaly --- storage deficit --- mass balance --- snow depth --- glacier retreat --- surface DEM --- elevation change --- Sentinel --- Secchi disk --- chlorophyll a --- sediments --- phytoplankton --- floods --- remote sensing --- GIS --- disaster mapping --- Lower Chenab Plain --- laserscanning --- UAV—structure from Motion --- multi-spectral satellite data --- synthetic Aperture Radar --- glacier lake evolution --- glacier river --- slope processes --- rock fall --- cryosphere --- fusion --- inundation probability --- Hurricane Harvey --- ADCIRC --- n/a --- UAV-structure from Motion

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This Special Issue (SI) on “Land Degradation Assessment with Earth Observation” comprises 17 original research papers with a focus on land degradation in arid, semiarid and dry-subhumid areas (i.e., desertification) in addition to temperate rangelands, grasslands, woodlands and the humid tropics. The studies cover different spatial, spectral and temporal scales and employ a wealth of different optical and radar sensors. Some studies incorporate time-series analysis techniques that assess the general trend of vegetation or the timing and duration of the reduction in biological productivity caused by land degradation. As anticipated from the latest trend in Earth Observation (EO) literature, some studies utilize the cloud-computing infrastructure of Google Earth Engine to cope with the unprecedented volume of data involved in current methodological approaches. This SI clearly demonstrates the ever-increasing relevance of EO technologies when it comes to assessing and monitoring land degradation. With the recently published IPCC Reports informing us of the severe impacts and risks to terrestrial and freshwater ecosystems and the ecosystem services they provide, the EO scientific community has a clear obligation to increase its efforts to address any remaining gaps—some of which have been identified in this SI—and produce highly accurate and relevant land-degradation assessment and monitoring tools.

bfast --- Mann–Kendall --- Sen’s slope --- East Africa --- NDVI --- breakpoint analysis --- vegetation trends --- greening --- browning --- Kenya --- Uganda --- trend analysis --- land use --- land cover --- spatial heterogeneity --- mining development --- geographically weighted regression (GWR) --- Mann-Kendall --- arid and semi-arid areas --- salinization --- irrigated systems --- Niger River basin --- salinity index --- vegetation index --- TI-NDVI --- Sentinel-2 images --- high temporal resolution --- wind erosion modeling --- RWEQ --- GEE --- central Asia --- spatial-temporal variation --- land degradation --- archetypes --- self-organizing maps --- drivers --- savannah --- Nigeria --- reference levels --- REDD+ --- greenhouse gas emissions --- Xishuangbanna --- monitoring and reporting --- Normalised Difference Vegetation Index (NDVI) --- Vegetation Condition Index (VCI) --- drought --- land use-land cover --- remote sensing --- Botswana --- developing countries --- Google Earth Engine --- Landsat time series analysis --- semi-arid areas --- sustainable land management programmes --- precipitation --- breakpoints and timeseries analysis --- ecosystem structural change --- BFAST --- land degradation neutrality --- SDG --- land productivity --- Landsat --- vegetation-precipitation relationship --- soil organic carbon --- Kobresia pygmaea community --- unmanned aerial vehicle --- Gaofen satellite --- spatial distribution --- aridity index --- satellite-based aridity index --- remote sensing index --- salinized land degradation index (SDI) --- Amu Darya delta (ADD) --- satellite imagery --- gully mapping --- machine learning --- random forest --- support vector machines --- South Africa --- semi-arid environment --- shrub encroachment --- slangbos --- Earth observation --- time series --- Sentinel-1 --- Sentinel-2 --- Synthetic Aperture Radar (SAR) --- Soil Adjusted Vegetation Index (SAVI) --- Kyrgyzstan --- pastures --- MODIS --- land surface phenology --- drought impacts --- drought adaptation --- drought index --- vegetation resilience --- drought vulnerability --- standardized precipitation evapotranspiration index --- AVHRR --- n/a --- Sen's slope